Room: Exhibit Hall
Date: 4/16/2025
Session Time: 8:00 AM to 5:45 PM (local time)
Performance and Progress of Earthquake Early Warning Systems Around the World
Earthquake early warning (EEW) systems aim to rapidly detect that an earthquake is happening and issue alerts for incoming shaking. Such systems can provide crucial seconds for people and automated systems to take protective actions before shaking arrives, potentially mitigating the impacts of damaging ground motions. The development and operation of EEW systems is a multidisciplinary effort at the intersection of seismology, engineering, and social science. Timely alerting requires both sophisticated network engineering to provide real-time seismic and geodetic observations as well as earthquake characterization algorithms that use small portions of these data to rapidly detect earthquake shaking and estimate ground motion distributions. Social science and emergency management research help determine what alert messages should say and illuminate public perception of the system’s performance. Selecting alerting strategies that balance tradeoffs among prediction accuracy, available warning time, and the level of shaking for which users desire alerts requires insight from all disciplines.
There are many EEW systems around the world that are in various stages of operation and development. The details of a given EEW system vary, but system operators look to each other for new ideas and lessons learned from recent earthquakes. This session welcomes contributions across all disciplines of EEW science, including abstracts that discuss the performance of current EEW systems, the development of new EEW approaches, and education and outreach efforts to encourage adoption of these systems.
Conveners
Glenn Biasi, U.S. Geological Survey (gbiasi@usgs.gov)
Angela Lux, University of California Berkeley (angie.lux@berkeley.edu)
Jessica Murray, U.S. Geological Survey (jrmurray@usgs.gov)
Jessie K Saunders, California Institute of Technology (jsaunder@caltech.edu)
Alan Yong, U.S. Geological Survey (yong@usgs.gov)
Poster Presentations
| Participant Role | Details | Action |
|---|---|---|
| Submission | Testing DAS-integrated Earthquake Early Warning in Northern California: Design and Implementation | View |
| Submission | The Value of Distributed Acoustic Sensing for Earthquake Early Warning in Southern California | View |
| Submission | Enhancing Earthquake Early Warning with FinDer: Advances in Rapid Finite-source Modeling, Performance Evaluation, and New Features | View |
| Submission | Testing Cascadia and San Andreas Fault-specific Finder Templates with the 5 December 2024 M7 Offshore Cape Mendocino Earthquake and Scenario Earthquakes | View |
| Submission | Real-time GNSS Data in ShakeAlert: Potential Improvements for Subduction Megathrust Earthquakes Through Network Design and Distributed Slip Models | View |
| Submission | Mitigating Noise in Real-time GPS Positions to Improve Reliability of Geodetic Magnitude Estimates in the ShakeAlert Earthquake Early Warning System | View |
| Submission | Evaluating the Effectiveness of Past and Present Seismic Arrays in Detecting Off-shore Earthquakes in Cascadia | View |
| Submission | Installation and Optimization Advances in Earthquake Early Warning System (Rast-Vs) for Business Continuity and Public Safety in Mexico | View |
| Submission | Evaluating the Impact of Earthquake Early Warning Systems on Casualty Reduction: A Global Framework With a Focus on Central America | View |
| Submission | Real-time Correction of Ground Motion Amplification for a Rapid Seismic Intensity Reporting System | View |
| Submission | An End-to-end Approach for Earthquake Early Warning Using IoT and Deep Learning | View |
| Submission | WITHDRAWN Performance Assessment of the Network-based EEWS From the M4 09-26-2024 Event | View |
Performance and Progress of Earthquake Early Warning Systems Around the World [Poster]
Description